| 神经元网络控制系统 |
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| 引用本文： | 田明,戴汝为.神经元网络控制系统[J].信息与控制,1992,21(3):156-161,166. |
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| 作者姓名： | 田明 戴汝为 |
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| 作者单位： | 中国科学院自动化研究所，中国科学院自动化研究所 北京 100080，北京 100080 |
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| 摘 要： | 人工神经元网络基于其特有的功能而被应用于控制系统中,为智能控制提供了一个有潜力的发展方向,本文讨论了神经元网络控制的三种方法:基于模式识别功能的BP网络控制器,基于联想记忆模型的模糊控制,以及基于神经元网络优化功能的控制优化调节,并分别指出其优、缺点及有待解决的一些问题。
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| 关 键 词： | 控制系统 神经网络 |
NEURAL NETWORK CONTROL SYSTEMS |
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| TIAN Ming DAI Ruwei.NEURAL NETWORK CONTROL SYSTEMS[J].Information and Control,1992,21(3):156-161,166. |
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| Authors: | TIAN Ming DAI Ruwei |
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| Abstract: | There have been many attempts to use neural networks in control systems. Based on special characteristics, they provide an approach with significant potential toward intelligent control. This paper reviews the emerging field of neural networks for control systems. The methods used in this field can be broadly classified as: 1) BP network controllers 2)fuzzy control based on associative memory models, and 3) neural networks for optimization. Comments on these methods and expectations are also given in.this paper. |
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| Keywords: | neural networks lesrning identification control BP network Hopfield network |
| 本文献已被 CNKI 维普 等数据库收录！ |
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